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Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources


Jul 14, 2022
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu

* To appear in Concurrency and Computation: Practice and Experience, 16 pages, 7 figures, 5 tables 

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JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu


Jun 03, 2021
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong

* Accepted to SIGKDD 2021 applied data science track 

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RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering


Oct 16, 2020
Yingqi Qu Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang


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Learning to Recommend via Meta Parameter Partition


Dec 04, 2019
Liang Zhao, Yang Wang, Daxiang Dong, Hao Tian


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